Design and architect AI-native solutions for enterprise clients spanning Generative AI, agentic workflows, intelligent automation, and digital product engineering.
Collaborate with the Principal Architect to create, review, and continuously improve AI engineering frameworks, reference architectures, and solution accelerators.
Stay current on emerging AI/ML tools, platforms, and methodologies evaluating and adopting relevant capabilities into Jade's delivery toolkit.
Contribute to the development of reusable assets including solution templates, architecture patterns, and proof-of-concept frameworks.
Delivery Collaboration & Technical Leadership
Work hand-in-hand with software engineering and development teams to ensure architecture-to-delivery continuity on client engagements.
Provide technical oversight and architectural guidance throughout project execution from solution design through go-live and stabilization.
Conduct architecture reviews, code reviews, and design sessions to ensure quality, scalability, and alignment with agreed patterns.
Identify and resolve technical risks proactively, serving as an escalation point for complex delivery challenges.
Technical Consulting & Client Engagement
Engage directly with client technical teams and business stakeholders to understand requirements, surface pain points, and design pragmatic solutions.
Translate business problems into technology solutions using the latest AI, cloud, data, and engineering capabilities.
Support pre-sales and RFP activities by contributing to solution design, effort estimation, and technical proposal development.
Participate in client workshops, architecture walkthroughs, and technical presentations communicating complex concepts clearly to both technical and non-technical audiences.
Cloud & Automation Architecture
Architect solutions on major cloud platforms (AWS, Azure, or GCP) with strong command of cloud-native patterns microservices, serverless, event-driven, and containerized architectures.
Ensure solutions meet enterprise standards for security, compliance, performance, and cost optimization.
Practice & Knowledge Contribution
Contribute to Jade Global's internal knowledge base, CoP (Community of Practice), and learning initiatives around AI and modern engineering.
Mentor junior architects and senior engineers sharing expertise, reviewing technical work, and supporting capability development.
Support the Principal Architect in shaping the evolving AI&DE service offerings and go-to-market messaging.
Qualifications
Education
Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field is required.
Master's degree (MS or MBA) is a plus.
Experience
812 years of progressive experience in solution architecture, technical architecture, or senior engineering roles within IT services or consulting organizations.
Hands-on experience designing and delivering solutions across AI/ML, cloud platforms, data engineering, and application modernization.
Experience contributing to pre-sales activities including RFP responses, solution proposals, and client workshops is preferred.
Prior experience at an IT services company, digital engineering firm, or consulting organization is strongly preferred.
Technical Skills
AI & GenAI: Working knowledge of Generative AI, LLMs, Agentic AI frameworks (LangChain, LangGraph, AutoGen), RAG architectures, and vector databases.
Cloud: Solid hands-on experience with AWS, Azure, or GCP; cloud-native design patterns, Kubernetes, DevSecOps, and CI/CD pipelines.
Engineering Stack: Strong proficiency in .NET (C#, ASP.NET Core) and/or OpenSource stacks (Java, Python, Node.js); experience with both is a significant advantage.
Intelligent Automation: Experience with RPA tools, workflow automation, and AI-augmented process automation.
Enterprise Platforms: Familiarity with Oracle, SAP, Salesforce, or ServiceNow is a plus.
Cloud Certification (AWS, Azure, or GCP) is preferred.
Soft Skills
Strong written and verbal communication able to present solutions clearly to both technical teams and business stakeholders.
Collaborative and team-oriented comfortable working in cross-functional delivery teams spanning India and North America.
Problem-solver mindset approaches ambiguous client challenges with structured thinking and practical solutions.
Self-driven learner actively keeps pace with fast-evolving AI and engineering landscape.
